Denoising Of Mr Images Using Non Linear Anisotropic Diffusion Filtering As A Preprocessing Step
Sankar Seramani, Zhou Jiayin, Chan Kap Luk, N. Malmurugan, A. Nagappan · Zenodo (CERN European Organization for Nuclear Research) · 2008
Abstract: Magnetic resonance imaging (MRI) is a noninvasive method for producing tomographic images of the human body and it is most often used for the detection of tumors(lesions) and other abnormalities in soft tissues such as the brain. MR Images often requires application of noise filtering techniques before visual inspection or application of noise sensitive post processing methods, so a filtering which is desired to significantly decrease image noise and simultaneously to preserve some fine details in the image is required .Therefore good denoising technique shoud be developed on MRI for further processing the Lymph node for automatic segmentation.. In this paper Non Linear Anisotropic Diffusion Filtering denoising technique is discussed and its results were compared to the existing wavelet based denoising technique. Index Terms: MRI, tumor, brain, segmentation, difussion filtering, non linear